📊AI for Data & Analytics
Learn to analyze data, write SQL and create reports with AI.
What you'll learn
- Generate SQL queries using natural language and AI
- Clean, transform and prepare data with AI assistance
- Create professional visualizations and dashboards
- Understand analysis patterns: cohorts, funnels, A/B tests
- Build automated reporting workflows
Who this is for
Analysts, marketers, product managers and anyone who works with data.
Syllabus
AI Meets Data
What AI can do with data, how to ask ChatGPT or Claude a data question, and how to upload a CSV and get answers without writing a single line of code.
SQL with AI
Describe what you want to know and AI writes the SQL query. Joins, aggregations, window functions — no syntax memorization required.
AI for Spreadsheets
Google Sheets + AI, Excel + Copilot. Formula generation, pivot tables, data cleaning and practical exercises with real datasets.
Data Visualization with AI
Create charts and dashboards by describing what you want. Claude artifacts, ChatGPT Code Interpreter and best practices for data storytelling.
Data Cleaning and Preparation
AI for deduplication, normalization, missing values. Regex generation and ETL patterns with AI assistance.
Common Analysis Patterns
Cohort analysis, funnel analysis, A/B test interpretation. How to prompt AI for each and when to trust AI analysis vs verify manually.
Automated Reporting
From ad-hoc questions to systematic reporting. Repeatable analysis workflows, templates, scheduling and stakeholder-ready outputs.